Efficient Model-Based Deep Reinforcement Learning with Variational State
Tabulation

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation

12 February 2018

Dane S. Corneil

Papers citing "Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation"

13 / 13 papers shown

Title
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 18 0 0 12 Apr 2023
Predictive World Models from Real-World Partial Observations Robin Karlsson Alexander Carballo Keisuke Fujii Kento Ohtani K. Takeda 26 5 0 12 Jan 2023
PRISM: Probabilistic Real-Time Inference in Spatial World Models Atanas Mirchev Baris Kayalibay Ahmed Agha Patrick van der Smagt Daniel Cremers Justin Bayer VGen 25 0 0 06 Dec 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng-Tao Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 29 41 0 04 Nov 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 29 35 0 08 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 20 4 0 03 Jun 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos Haoqi Yuan Ruihai Wu Andrew Zhao Hanwang Zhang Zihan Ding Hao Dong 19 3 0 07 Mar 2021
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs Aayam Shrestha Stefan Lee Prasad Tadepalli Alan Fern OffRL 55 23 0 18 Oct 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 25 9 0 26 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 19 61 0 16 Jun 2020
A Sufficient Statistic for Influence in Structured Multiagent Environments F. Oliehoek Stefan J. Witwicki L. Kaelbling 12 23 0 22 Jul 2019
Learning Causal State Representations of Partially Observable Environments Amy Zhang Zachary Chase Lipton Luis Villaseñor-Pineda Kamyar Azizzadenesheli Anima Anandkumar Laurent Itti Joelle Pineau Tommaso Furlanello CML 27 49 0 25 Jun 2019
Hill Climbing on Value Estimates for Search-control in Dyna Yangchen Pan Hengshuai Yao Amir-massoud Farahmand Martha White 16 18 0 18 Jun 2019